Tayyaba Azim
Orcid: 0000-0002-6940-7955
According to our database1,
Tayyaba Azim
authored at least 18 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Biol. Medicine, 2024
ConversationMoC: Encoding Conversational Dynamics using Multiplex Network for Identifying Moment of Change in Mood and Mental Health Classification.
Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024
2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation.
PeerJ Comput. Sci., 2021
2020
Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task.
IET Comput. Vis., 2020
2019
Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan.
IEEE Access, 2019
SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor.
IEEE Access, 2019
2018
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-98523-7, 2018
2017
Proceedings of the Pattern Recognition Applications and Methods, 2017
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
2014
PhD thesis, 2014
Appl. Soft Comput., 2014
Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.
Artif. Intell. Medicine, 2014
Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM.
Proceedings of the VISAPP 2014, 2014
Proceedings of the VISAPP 2014, 2014
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
2009
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2009